They said prices tend to rise when “infections” spread from one buyer to another, transmitted by word-of-mouth between friends – especially to those with a “fear of missing out” on a chance to get rich quick. The rate of new entrants to the market helps to set prices, while more people losing money will lead to immunity.

Arguing that the “susceptible” population for the bitcoin bug has now fallen, the economists said the peak reached just before Christmas was probably the ultimate price that could ever be achieved for the digital currency.

“This occurs with infectious diseases when the immunity threshold is reached; ie, the point at which a sufficient portion of the population becomes immune such that there are no more secondary infections,” the economists said.

Using that logic and applying it to the plethora of other digital currencies, including the peers of bitcoin such as ethereum and ripple, Barclays said the overall value for all crypto assets may never surpass $780bn – roughly equivalent to the peak sum of all cryptocurrencies in early January.

Let's be clear: This is a leading British financial institution, using studies outside their realm of expertise to attempt to understand something outside both their realm of expertise and the expertise of the study.

If the CDC decided to use string theory to model advertising, they'd be in about the same place.

The easiest ways to do machine translation are based on the noisy channel model, assuming the text you want translate was written the language you want to translate it to and was garbled into the language you want to translate from. Sometimes modeling with analogies works.

It's an algorithm for correcting errors introduced by transmitting data through a noisy medium to translate from one language to another. The analogy is straightforward, but it's still an analogy. I have no idea whether bitcoin adoption is enough like the spread of disease to make modeling it that way useful, but the meme of memes refusing to die makes it look at least a little plausible, or at least not #nottheonion-ridiculous.